The researchers noted that the original studies did not include individual patient data, so for this analysis, they were unable to analyze whether sleep-related symptoms were persistent for those taking beta-blockers. They said additional research is needed to address this question. Beta-blockers not likely to cause depression yet may contribute to sleep disturbances [news release]. American Heart Association; March 15, Accessed March 15, March 17, Berlin, Germany— Questions have been raised for years about whether widely prescribed beta-blockers can cause depression.
Now, a new international study provides some answers. The report in Hypertension states that beta-blockers, used to treat various cardiovascular diseases CVDs , were not more likely to cause depression compared with other similar treatments. Even when depression occurs during beta-blocker therapy, Berlin Institute of Health—led researchers suggest those medications are not the likely cause.
Beta-blockers, which lower blood pressure by reducing heart rate, workload, and output of blood, are a common treatment for cardiovascular diseases, including heart failure, arrhythmias, and chest pain, as well as hypertension.
Concerns have been raised about whether beta-blockers have negative psychological side effects, including depression, anxiety, drowsiness, insomnia, hallucinations, and nightmares. To do that, researchers extracted the frequencies of PAEs and rates of withdrawals and compared them with the number of exposed patients. Objective: To review the literature regarding the purported association between oral ingestion of beta-blocker drugs and depressed mood.
Data source: MEDLINE was searched for published articles using the key words propranolol, atenolol, metoprolol, nadolol, timolol, beta-blocker, beta-adrenergic antagonist, or beta-adrenergic blocker in combination with the key words depression, depressive symptomatology, major depressive disorder, or depressed mood from January through December Data synthesis: Findings regarding the association are equivocal. Plausible explanations include study design, case definition, and confounding disease states.
Most of the evidence supporting an association has used case series and case reports.
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